Neural Networks: An Introduction

Müller, Berndt; Reinhardt, Joachim; Strickland, Michael T.

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

Details

Published by: Springer

Publication Date: 1995-10-02

Format: Paperback

ISBN-10: 9783540602071

ISBN-13: 9783540602071

DOI: 10.1007/978-3-642-57760-4

Dimensions: 235cm x155cm

Pages: 331